Applying Center Loss to Multidimensional Feature Space in Deep Neural Networks for Open-set Recognition.
Daiju KanaokaYuichiro TanakaHakaru TamukohPublished in: VISIGRAPP (5: VISAPP) (2022)
Keyphrases
- feature space
- neural network
- pattern recognition
- recognition rate
- artificial neural networks
- feature extraction
- object recognition
- high dimensional
- automatic recognition
- neural network model
- recognition accuracy
- recognition algorithm
- fuzzy logic
- recognition process
- dimensionality reduction
- genetic algorithm
- multilayer perceptron
- back propagation
- principal component analysis
- deep learning
- multi dimensional
- feature selection
- visual recognition
- character recognition
- input space
- feed forward
- classification accuracy
- data points
- support vector machine
- feature vectors
- face recognition
- neural nets
- high dimensionality
- image recognition
- kernel methods
- image processing
- activity recognition
- riemannian manifolds